Data platform and Bayesian forecasting of Swiss lakes – DATALAKES

Problem:

• Increasing pressure on lakes needs scientific support
• 3D numerical simulations of lakes require input data – uncertainty quantification in parameters & forecast
• New L’EXPLORE platform in Lake Geneva – increasing availability of high resolution data

Solution:

• Sensor-to-frontend open data platform
• Physics-driven hydrodynamic models
• Data-driven modeling of input data processes
• Parallel Bayesian inference – MCMC with ABC or PF
• Multi-level speedup – hierarchical numerical models

Impact:

• Real time monitoring & future forecast of lakes
• Platform for large-scale interdisciplinary collaborations
• Research in hydrological / ecological lake modeling
• Scientifically grounded water resources management